Build and deploy pragmatic retrieval-augmented generation (RAG) agents efficiently. Integrate various data sources and APIs to enhance your AI agents' capabilities. Streamline agent development with a
Recall past conversations and user preferences with searchable long‑term memory. Organize work into spaces and quickly load rich project context. Act across connected services like GitHub, Linear, and
Enforce consistent C++ style and best practices across your codebase. Analyze naming, memory safety, and const correctness, and get actionable modernization suggestions up to C++23. Accelerate reviews
Provides essential system utilities and file management capabilities. Streamlines fundamental computing tasks through a standardized interface. Enhances productivity by consolidating fundamental opera
Extract content from URLs, documents, videos, and audio files using intelligent auto-engine selection. Supports web pages, PDFs, Word docs, YouTube transcripts, and more with structured JSON responses
Deterministic AI safety policy engine with Z3 formal verification. Write, verify, and enforce machine-verifiable constraints for AI agents via MCP.
Deterministic execution engine for AI agents with 412 modules across 78 categories (browser, file, Docker, data, crypto, scheduling). Features execution trace, evidence snapshots, replay from any step
Interact with Flowcore to perform actions, ingest data, and analyse, cross reference and utilise any data in your data cores, or in public data cores; all with human language.
Search and retrieve NGSS standards by code, domain, or topic. Explore three-dimensional components (SEPs, DCIs, and CCCs) and discover related standards by shared practices, concepts, or core ideas. P
A MCP server for LLDB enabling AI binary and core file analysis, debugging, disassembling.
Extract clean text and metadata from any URL to simplify web data collection. Transform raw web pages into structured information for easier analysis and content processing. Access core data from the
MCP server for dbt-core (OSS) users as the official dbt MCP only supports dbt Cloud. Supports project metadata, model and column-level lineage and dbt documentation.
High-performance cross-chain liquidity bot. Trade 100+ tokens across 7+ chains (EVM & Solana). Native C++ core for encryption and math.
Self-hosted Bitcoin Core MCP server — 43 tools, 6 prompts, and 7 resources. Fee intelligence with USD conversion and send-now-or-wait advice, mempool analysis, mining pool rankings, market sentiment,
A core banking integration for managing clients, loans, savings, shares, financial transactions and generating financial reports.
Manage Azure DevOps projects, work items, repos, pipelines, wikis, search, and test plans from your coding workflow. Create and update work items, branches, pull requests, and wiki pages; run pipeline
This tool is a cutting-edge memory engine that blends real-time learning, persistent three-tier context awareness, and seamless LLM integration to continuously evolve and enrich your AI’s intelligen
A Model Context Protocol (MCP) server that provides AI assistants with comprehensive access to n8n node documentation, properties, and operations. Deploy in minutes to give Claude and other AI assista
Build and manage Algorand accounts, assets, transactions, and smart contracts in one place. Search documentation, retrieve on-chain data, and automate advanced flows including atomic groups and swaps.